Estimation of total body water by bioelectrical impedance analysis in blacks
Abstract
Several differences exist between the body composition of blacks and whites. This study was designed to investigate the applicability of bioelectrical impedance analysis (BIA) in blacks, using prediction equations developed in whites. A multiple regression equation developed on 79 white adults, using deuterium oxide dilution space total body water (D 2 O‐TBW) as the reference method, was prospectively applied to 88 blacks aged 19–50 years. Although the regression line of D 2 O‐TBW on BIA‐TBW was not significantly different from the line of identity (r = 0.98, SEE = 1.71 liters), mean TBW was significantly underestimated by 0.84 liter. Other BIA equations from the literature also underestimated D 2 O‐TBW in blacks, except for an equation developed on a mixed black and white population. Multiple regression analysis on the data of the black and white subjects combined showed that race, offered as a separate independent variable, improved the correlation with D 2 O‐TBW slightly but significantly (P < 0.01). It was concluded that BIA may be valuable in the assessment of body composition in blacks as well as in whites. In this study a small underestimation of TBW occurred in blacks, using (BIA) equations from whites. This may be due to racial differences in body composition or to factors unrelated to ethnicity.
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Most studies on adults (n = 4) were conducted in the USA.
“Although most of the studies (n = 4) were conducted in the USA [34, 42, 54, 82], the largest participant number occurred in one Chinese study [81].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [54]
Two equations for adults are suitable for estimating TBW in both sexes.
“Two equations are suitable for estimating TBW [42, 54], ten for estimating LSM [61, 77], and one for estimating SMM [82] in both sexes.”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [54]
The study tested its equations against earlier published BIA equations whose development samples Dioum et al. assumed included at least some black participants.
“Performance of developed equations for the prediction of FFM was also tested using all available data (n=362) against previously published equations derived using participant samples which were assumed by Dioum et al. to consist of at least some ethnically black participants (5, 24–32).”
From Prediction of fat-free mass using bioelectrical impedance analysis in young adults from five populations of African origin (2013) · cites this paper as [28]
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fat of black men Validity of two-component models for estimating body
Wagner, D. R., Heyward, V. H., Rosskopf, L. B., Millard-Stafford, M. L., Collins, M. A., Modlesky, C. M., Snow, T. K., Fields, D. A., Goran, M. I., & McCrory, M. A. (2015)
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Bakhsh, M. A. (2017) · TSpace (University of Toronto)
- Authors
- Zillikens, M. C., & Conway, J. M.
- Affiliations
- Agricultural Research Service (US)
- Corresponding author
- Conway, Joan M.
- ORCID
- Zillikens, M. Carola
- Venue
- American Journal of Human Biology
- Publisher
- Wiley
- Published
- 1991-01
- Volume
- 3
- Issue
- 1
- Pages
- 25-32
- ISSN
- 1042-0533 (ISSN-L)
- 1520-6300
- OpenAlex
- W2045064689
- Semantic Scholar
- 6b96aa73875a1443bf89bee346096633fbeede1d
- Cited by
- 45
- References
- 27
- Citations by year
- 2024: 2 · 2020: 2 · 2018: 1 · 2017: 1 · 2015: 2 · 2013: 3
- FWCI
- 1.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Human Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
- Health Sciences › Health Professions › General Health Professions › Indigenous Health and Education
- Keywords
- total body water, bioelectrical impedance analysis, racial differences, body composition, deuterium dilution, prediction equations, African Americans
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